Internship Data Processing Pipeline Development for LLMs Job at Volkswagen AG (Wolfsburg)

Applied Scientist

Microsoft Defender for Endpoint (MDE) is a product for preventative protection, ...

Location

United States , Redmond

Salary:

84200.00 - 165200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
1+ years of experience working on bringing machine learning pipelines to production systems
1+ years of experience developing large-scale data pipelines, utilizing either distributed data processing frameworks (e.g., Apache Spark, Hadoop), real-time data streaming platforms (e.g., Kafka), or query languages like SQL and KQL
1+ years of experience with Large Language Models (LLMs)
1+ years of experience with classical machine learning application (eg Logistic Regression, LightGBM, XGBoost, etc) or custom deep-learning approaches using PyTorch or similar technology
Cybersecurity experience
1+ years of experience developing on at least one cloud platform (e.g., Azure, AWS, GCP)
1+ years of experience in MLOps, including model deployment, monitoring, version control, and continuous integration/continuous delivery (CI/CD) pipelines for machine learning projects, using tools such as Azure Machine Learning, MLflow, Kubeflow, TensorFlow Serving, or similar

Job Responsibility

Design, develop, and maintain the machine learning platform that powers cybersecurity protection machine learning models in our products and services
Collaborate with others to identify opportunities to optimize data tools used to transform, manage, and access data across teams. Ensures the effectiveness and placement of performance monitoring protocols across multiple data pipelines
Experiment with and apply large language models and agentic systems to protect our customers and improve our internal systems
Propose, design, experiment, and implement machine learning designs to protect our customers

Fulltime

Associate Machine Learning Engineer

The Associate Machine Learning (ML) Engineer at T-Mobile is instrumental in adva...

Location

United States , Bellevue

Salary:

75300.00 - 135800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
Master's/Advanced Degree in Computer Science, Machine Learning, Data Science, or a related field (Preferred)
Experience in developing or deploying ML models (academic, internship, or professional experience acceptable)
Experience with cloud technologies for model training and deployment (Preferred)
Solid understanding of classic supervised and unsupervised machine learning algorithms (e.g., classification, clustering, regression, SVM) (Required)
Familiarity with deep learning architectures (LSTM, CNNs) and LLMs (Preferred)
Knowledge of ML frameworks like TensorFlow, Keras, and PyTorch as well as MLOps tools (Preferred)
Proficiency in data manipulation and analysis using Apache Spark, Databricks, and Snowflake for big data processing (Required)
Working knowledge of SQL for querying and managing databases (Preferred)
Experience with containerization and orchestration tools (Docker, Kubernetes) (Preferred)

Job Responsibility

Assist in designing, developing and refining machine learning models to enhance customer interactions and operational efficiency
Support data preparation, training, testing, and evaluation for ML and deep learning models
Build and maintain data pipelines for large-scale training and inference
Optimize model performance, including feature engineering, hyperparameter tuning, and algorithm selection
Work with large language models (LLMs) and leverage ML frameworks for training, testing and evaluation
Collaborate with data scientists and engineering teams to integrate ML models into production systems and ensure scalability
Utilize platforms such as Databricks, Snowflake, and Apache Spark to build and manage ML pipelines
Support the development of end-to-end model training pipelines using TensorFlow, Keras, PyTorch, HuggingFace and TensorBoard for visualization
Leverage containerization and orchestration tools (Docker, Kubernetes)
Stay updated with the latest AI/ML research, tools, and technologies to enhance development practices

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off

Fulltime

New

Genai / python engineering internship

This is a high-stakes, 3-month unpaid internship program where you will work on-...

Location

Serbia , Novi Sad

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Solid foundation in Python
Knowledge of Git and Docker
Proactive problem-solving attitude
Fascination with GenAI and interest in RAG in production
Effective communication in English
Ready to work on-site in Novi Sad

Job Responsibility

Work on Agentic Systems and RAG pipelines that automate complex business logic
Develop backends using FastAPI/Flask and integrate with top-tier LLMs (OpenAI, Anthropic, AWS Bedrock)
Use Cursor, Claude Code, and LLMs to speed up development
Handle large-scale data processing and migrations for production environments

What we offer

Potential full-time offer upon successful completion of internship
Mentorship
Work on real-world solutions for global financial institutions

Fulltime

Backend Software Engineer

The Support Automation team at OpenAI scales the organization by applying cuttin...

Location

United States , San Francisco; Seattle

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

4+ years of backend engineering experience at product-driven companies (excluding internships)
Proficiency in backend technologies (Python, FastAPI, Postgres)
Experience designing and scaling distributed systems, APIs, or data processing pipelines
Experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
Familiarity with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context
Experience creating production evals and/or measuring performance of ML/LLM models at scale
A pragmatic mindset

Job Responsibility

Design eval pipelines that are reliable, reproducible, and extendable
Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows
Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
Own the full development lifecycle of new backend systems and internal platform capabilities
Build with scale and maintainability in mind, while rapidly iterating on new ideas

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

New

Healthcare Assistant & Lead Healthcare Assistant

Are you passionate about supporting older people and making a meaningful differe...

Location

Ireland , Cork

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience in elderly care is desirable but not essential (training may be provided)
QQI Level 5 in Healthcare Support or equivalent is an advantage
A caring, patient and respectful approach to supporting older people
Ability to work flexible shifts including days, nights, and weekends
Strong commitment to resident safety, dignity and wellbeing
Applicants must have legal entitlement to work in Ireland

Job Responsibility

Deliver person-centred care to residents with dignity and respect
Support residents with activities of daily living where required
Encourage independence and social engagement
Maintain a clean, safe and comfortable living environment
Build positive relationships with residents, families, and colleagues
Follow all health, safety and safeguarding procedures
Assist with compliance processes, inspections, and quality standards
Lead Healthcare Assistants will also assist in guiding care teams, supporting best practice, and helping maintain high standards of care delivery

What we offer

Flexible working hours to support work–life balance
Local employment opportunities within the Douglas, Cork area
Competitive rates of pay in line with experience and role
Supportive team environment with ongoing training and development
Employee wellbeing initiatives
Uniform provided
Free on-site parking
Meals provided while on duty

New

Bakery Team Member

Join us to "Change Hospitality For Good". Here at the Cornish Bakery, we want to...

Location

United Kingdom , Falmouth

Salary:

8.05 - 12.80 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Eligible to live and work in the UK

Job Responsibility

Make the World’s Best Coffee
Deliver Outstanding Customer Service
Prepare Award Winning Food
Maintain High standards within the Bakery
Be part of a Team who strive to Aim Higher at all times

What we offer

50% discount on food and drink
Pasty Perks – bespoke reward system offering discounts and savings on favourite brands
Financial well-being benefit through Stream – save directly from wages into a high interest savings account or access wages before pay-day
Employer funded health and wellbeing services with access to a 24/7 GP line, Employee Assistance Program and discounted gym memberships
Paid birthday day off
Member of the shareholder fund (service dependent)
Team social events with in-bakery incentives
Up to 28 days of holiday (including bank holidays), pro rata if necessary

New

Housekeeping Assistant

In Glasgow's prestigious West End, Kelvinside Manor provides luxurious accommoda...

Location

United Kingdom , Glasgow

Salary:

12.27 GBP / Hour

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience from a housekeeping or domestic cleaning role
Basic understanding of infection control, COSHH, and compliance standards
Ability to follow instructions and cleaning schedules
Ability to report issues
Ability to work well with others in a professional and courteous manner
Pride in your work, attention to detail, time management, and respectful communication
Ability to work well as part of a team or on your own
Demonstrating a kind and caring nature to all within the care home
Satisfactory references
Disclosure Scotland Scheme Membership (PVG)

Job Responsibility

Maintaining the highest levels of cleanliness in public areas and bedrooms within the home
Responsible for the wash, dry, iron and put away of laundry
Ensuring that our residents' care home facilities, public areas and rooms are maintained to the highest cleaning standards
Replenish and maintain supplies in both resident rooms and common areas
Communicate effectively with residents and colleagues to address needs and concerns

What we offer

Competitive benefits
Overtime rates
Flexible working hours considered

Parttime

New

Product Manager - Observability AIOps

We are looking for a Product Manager - Observability AIOps to lead the strategy,...

Location

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in Computer Science, IT, or related field
5+ years in Observability and AIOps within hybrid, complex environments
Strong knowledge of FSO (APM, logs, traces, RUM), SLI/SLOs, and service topology
Hands on with Dynatrace or similar smart observability (i.e. Datadog, Splunk, New Relic) and AIOps engines (correlation, deduplication, anomaly detection, auto remediation)
Experience integrating with ServiceNow, SAP, CI/CD pipelines, cloud services (Azure, AWS, GCP), and automation platforms
Solid understanding of modern application architectures, networks, databases, and infrastructure
Excellent communication and stakeholder management skills
Fluent in English

Job Responsibility

Define and execute the product vision and roadmap for Observability and AIOps, aligned with company objectives
Develop capabilities across metrics, logs, traces, RUM/synthetics, topology, and AI driven insights (anomaly detection, forecasting, correlation)
Prioritize features that enhance reliability, reduce MTTR, automate L1/L2 tasks, and improve customer experience
Collaborate with engineering, platform teams, and partners to ensure effective instrumentation, intelligent alerting, and automated workflows
Integrate Observability with ServiceNow, CI/CD, cloud platforms, and business processes to streamline operations
Leverage analytics to detect issues proactively, reduce noise, and optimize performance and resource usage
Champion an observability first and automation driven culture across teams

What we offer

Coaching and mentoring programs
Development opportunities
Equal opportunity employer
IT Equipment
Work with iconic brands
Supportive team

Internship Data Processing Pipeline Development for LLMs

Volkswagen AG

Location:
Germany , Wolfsburg

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
June 06, 2025

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Location:Germany , Wolfsburg

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Job Responsibility:

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Job Posted:June 06, 2025

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